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An Advanced Cloud and AI Framework for Intelligent Data Processing Security and Enterprise System Optimization

Abstract

The rapid growth of enterprise data and the complexity of digital ecosystems necessitate intelligent frameworks that integrate cloud computing and artificial intelligence (AI) to optimize system performance and security. This study proposes an advanced framework that leverages cloud infrastructure, AI algorithms, and real-time analytics to facilitate intelligent data processing, enhance cybersecurity measures, and improve enterprise system efficiency. The framework incorporates scalable cloud resources for distributed computation, machine learning models for predictive insights, and automated security protocols for threat detection and mitigation. Experimental evaluations demonstrate significant improvements in data throughput, processing speed, anomaly detection, and resource utilization compared to traditional systems. Moreover, the framework ensures compliance with modern data governance standards while maintaining high availability and fault tolerance. By bridging cloud computing and AI technologies, this framework provides a holistic solution for enterprises aiming to optimize operational performance, enhance decision-making, and secure sensitive information in dynamic digital environments. The findings contribute to both academic research and practical enterprise deployment strategies, offering a roadmap for future developments in intelligent cloud-based systems.

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